49 min listen
Convert Your Unstructured Data To Embedding Vectors For More Efficient Machine Learning With Towhee
Convert Your Unstructured Data To Embedding Vectors For More Efficient Machine Learning With Towhee
ratings:
Length:
54 minutes
Released:
Dec 12, 2022
Format:
Podcast episode
Description
Data is one of the core ingredients for machine learning, but the format in which it is understandable to humans is not a useful representation for models. Embedding vectors are a way to structure data in a way that is native to how models interpret and manipulate information. In this episode Frank Liu shares how the Towhee library simplifies the work of translating your unstructured data assets (e.g. images, audio, video, etc.) into embeddings that you can use efficiently for machine learning, and how it fits into your workflow for model development.
Released:
Dec 12, 2022
Format:
Podcast episode
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